INDUSTRY INSIGHT
Amritesh Anand, Vice President & MD – Technology Services Group, In2IT Technologies
the new digital backbone being built, a backbone that is transforming the very fabric of our digital economy.
Why infrastructure is the unsung hero of AI
When most people think about AI, they focus on applications, chatbots, autonomous vehicles, fraud detection or personalised recommendations. Yet none of these innovations would be possible without the infrastructure powering them. High-performance GPUs, energy-efficient data centres, distributed cloud platforms and advanced networking all make it possible to train and deploy AI models at scale.
This explains why the global AI infrastructure market is projected to grow exponentially over the next decade. The bottleneck is no longer the algorithms, many of which are now open source, but the computing power and storage required to run them effectively. We already started to see trends for Specialised Silicon and Hybrid / Quantum architecture enabling traditional cloud with specialised hardware for AI with future integration with Quantum Computing. By investing in infrastructure, major players are ensuring that AI can continue to scale beyond niche use cases and into every aspect of business and society.
A new competitive advantage for businesses
For enterprises, access to robust AI infrastructure is becoming a new source of competitive advantage. Businesses that can harness scalable AI platforms will be able to innovate faster, deliver more personalised services and make better data-driven decisions. For instance, a retail company with advanced AI infrastructure can offer highly personalised product recommendations, leading to increased sales. Those who lag risk being locked out of the opportunities AI creates.
Consider industries like manufacturing, healthcare, finance and logistics. The ability to process vast amounts of unstructured data in real-time can improve patient outcomes, reduce fraud or optimise supply chains. Organisations today are aggressively working on computer vision and machine vision to give them edge on real-time basis to increase their efficiency and evolve new growth engines for their business. But achieving this requires more than simply adopting an AI tool; it demands a foundation of reliable infrastructure that can handle these workloads. The businesses that succeed will be those that align their digital strategies with the infrastructure being developed today, recognising AI infrastructure not just as a necessity but as a strategic priority.
The role of IT partners in this transformation
Here’ s where IT partners come in. For most organisations, building AI-ready infrastructure in-house is impractical, both financially and operationally. AI-ready infrastructure refers to a robust and scalable system that can handle the complex workloads of AI applications. Instead, they rely on IT service providers to help them
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